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Reducing Time-to-Solution Using Distributed High-Throughput Mega-Workflows - Experiences from SCEC CyberShake.

, , , , , , , , , , , , and . eScience, page 151-158. IEEE Computer Society, (2008)

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A Tale Of 160 Scientists, Three Applications, A Workshop and A Cloud, , , , , , , and . CoRR, (2012)The Application of Cloud Computing to the Creation of Image Mosaics and Management of Their Provenance, , , and . CoRR, (2010)Using Clouds for Science, is it just Kicking the Can down the Road?., , and . CLOSER, page 127-134. SciTePress, (2012)Online Fault and Anomaly Detection for Large-Scale Scientific Workflows., , , , , , , and . HPCC, page 373-381. IEEE, (2011)Practical Resource Monitoring for Robust High Throughput Computing., , , , , , , and . CLUSTER, page 650-657. IEEE Computer Society, (2015)Data Sharing Options for Scientific Workflows on Amazon EC2., , , , , , and . SC, page 1-9. IEEE, (2010)Automating Application Deployment in Infrastructure Clouds., and . CloudCom, page 658-665. IEEE Computer Society, (2011)Pipeline-centric provenance model., , , , and . SC-WORKS, ACM, (2009)Wrangler: virtual cluster provisioning for the cloud., and . HPDC, page 277-278. ACM, (2011)Characterizing and profiling scientific workflows., , , , , and . Future Gener. Comput. Syst., 29 (3): 682-692 (2013)